Machine Learning Fundamentals with Python Training Course
Course
In City Of London
Description
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Type
Course
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Location
City of london
The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Trading
- Trading Strategy
- Algorithms
- Banking
- Finance
- Financial
- Trade
- Financial Training
Course programme
Introduction to Applied Machine Learning
- Statistical learning vs. Machine learning
- Iteration and evaluation
- Bias-Variance trade-off
- Choice of libraries
- Add-on tools
- Linear regression
- Generalizations and Nonlinearity
- Exercises
- Bayesian refresher
- Naive Bayes
- Logistic regression
- K-Nearest neighbors
- Exercises
- Cross-validation approaches
- Bootstrap
- Exercises
- K-means clustering
- Examples
- Challenges of unsupervised learning and beyond K-means
Machine Learning Fundamentals with Python Training Course